Evidence map›Paper›PMID 26898777›Full record

ArticleNeuron2016

Grid Cell Responses in 1D Environments Assessed as Slices through a 2D Lattice.

KiJung Yoon, Sam Lewallen, Amina A Kinkhabwala, David W Tank, Ila R Fiete

Abstract read
In one paragraph

Article in Neuron, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

39 citing papers in PubMed.

  1. Article
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  16. Article
  17. Attractor and integrator networks in the brain.Nature reviews. Neuroscience · 2022
    Review
  18. Place cells and geometry lead to a flexible grid pattern.Journal of computational neuroscience · 2021
    Article
  19. Article
  20. The grid code for ordered experience.Nature reviews. Neuroscience · 2021
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

KiJung YoonCenter for Learning and Memory, University of Texas at Austin, Austin, TX 78712, USA; Department of Neuroscience, University of Texas at Austin, Austin, TX 78712, USA.
Sam LewallenPrinceton Neuroscience Institute, Princeton University, Princeton, NJ 08544, USA; Bezos Center for Neural Circuit Dynamics and Princeton Neuroscience Institute, Princeton University, Princeton, NJ 08544, USA.
Amina A KinkhabwalaPrinceton Neuroscience Institute, Princeton University, Princeton, NJ 08544, USA.
David W TankPrinceton Neuroscience Institute, Princeton University, Princeton, NJ 08544, USA; Bezos Center for Neural Circuit Dynamics and Princeton Neuroscience Institute, Princeton University, Princeton, NJ 08544, USA. Electronic address: dwtank@princeton.edu.
Ila R FieteCenter for Learning and Memory, University of Texas at Austin, Austin, TX 78712, USA; Department of Neuroscience, University of Texas at Austin, Austin, TX 78712, USA. Electronic address: ilafiete@mail.clm.utexas.edu.

Funding

NRSA Training Grant in Quantitative NeuroscienceT32MH065214 · NIMH · PRINCETON UNIVERSITY · PI Nathaniel Douglass Daw, KENNETH A NORMAN · 2002 to 2026
$7.9M
Grid Cell Dynamics During Navigation In Virtual RealityR37NS081242 · NINDS · PRINCETON UNIVERSITY · PI TANK, DAVID W · 2012 to 2018
$2.6M
NIMH NIH HHS 5T32MH065214-13NIMH NIH HHS T32 MH065214NINDS NIH HHS 5R37NS081242-04NINDS NIH HHS R37 NS081242
6 · The paper itself

Abstract

Grid cells, defined by their striking periodic spatial responses in open 2D arenas, appear to respond differently on 1D tracks: the multiple response fields are not periodically arranged, peak amplitudes vary across fields, and the mean spacing between fields is larger than in 2D environments. We ask whether such 1D responses are consistent with the system's 2D dynamics. Combining analytical and numerical methods, we show that the 1D responses of grid cells with stable 1D fields are consistent with a linear slice through a 2D triangular lattice. Further, the 1D responses of comodular cells are well described by parallel slices, and the offsets in the starting points of the 1D slices can predict the measured 2D relative spatial phase between the cells. From these results, we conclude that the 2D dynamics of these cells is preserved in 1D, suggesting a common computation during both types of navigation behavior.

Indexed as

Models, NeurologicalAnimalsFourier AnalysisHumansMathematicsMembrane PotentialsNeuronsPopulation DynamicsSpace Perception

Identifiers

PMID26898777
PMCPMC5507689

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.